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Coupling of Optimization Algorithms Based on Swarm Intelligence
2018Swarm intelligence is a branch of computational intelligence where algorithms are developed based on the biological examples of swarming and flocking phenomena of social organisms such as a flock of birds. Such algorithms have been widely utilized for solving computationally complex problems in fields of biomedical engineering and sociology.
Kamalanand Krishnamurthy +1 more
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Evolutionary Algorithms for Optimization and Swarm Intelligence-Based Optimization
Evolutionary Algorithms (EAs) and Swarm Intelligence (SI)-based Optimization are powerful, nature-inspired methodologies used to solve complex optimization problems. EAs, including Genetic Algorithms and Evolution Strategies, simulate natural selection processes to iteratively improve solutions through selection, mutation, and crossover.Rajeshwari Sissodia +3 more
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Research on Continuous Function Optimization Algorithm Based on Swarm-Intelligence
2009 Fifth International Conference on Natural Computation, 2009On the basis of the analyses of Ant Colony Optimization (ACO) and Particle Swarm Optimization (PSO), Continuous Ant- Particle Swarm Optimization (CA-PSO) applied in continuous function optimization is proposed. After the space partition is properly employed, ACO is applied to search the sensitive areas through the whole solution space.
Sasa Ma +3 more
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Metaheuristic Optimization Algorithms of Swarm Intelligence in Patch Antenna Design
2018 IEEE 10th Latin-American Conference on Communications (LATINCOM), 2018The patch antennas are widely used today and the research about their design is very important due to the numerous communication systems in which they are used. However, for these applications is essential that their parameters are suitable. Besides, the theoretical design of this type of antennas is not always effective.
Paola M. Guaman +3 more
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AI Communications
Swarm intelligence optimization algorithm has been proved to perform well in the field of parameter optimization. In order to further improve the performance of intelligent optimization algorithm, this paper proposes an improved and adaptive tunicate swarm algorithm (IMATSA) based on tunicate swarm algorithm (TSA).
Yan Chen, Weizhen Dong, Xiaochun Hu
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Swarm intelligence optimization algorithm has been proved to perform well in the field of parameter optimization. In order to further improve the performance of intelligent optimization algorithm, this paper proposes an improved and adaptive tunicate swarm algorithm (IMATSA) based on tunicate swarm algorithm (TSA).
Yan Chen, Weizhen Dong, Xiaochun Hu
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Evolution in Swarm Intelligence: An Evolutionary Ant-Based Optimization Algorithm
2006Swarm Intelligent (SI) algorithms draw their inspiration from the interaction of individuals of social organisms. One such algorithm, Ant Colony Optimization (ACO) [1], utilizes the foraging behavior of ants to solve combinatorial optimization problems.
Christopher Roach, Ronaldo Menezes
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MNEARO: A meta swarm intelligence optimization algorithm for engineering applications
Computer Methods in Applied Mechanics and EngineeringzbMATH Open Web Interface contents unavailable due to conflicting licenses.
Hu, Gang +3 more
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Route-Exchange Algorithm for Combinatorial Optimization Based on Swarm Intelligence
2006Inspired by the information interaction of individuals in swarm intelligence, a new algorithm for combinatorial optimization is proposed, which is called as Route-Exchange Algorithm (REA). This is a heuristic approach, in which the individuals of the swarm search the state space independently and simultaneously.
Xiaoxian He +3 more
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Swarm intelligence algorithm for optimality discovery in distributed constraint optimization
2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2014Kazuhei Hasegawa, Masato Noto
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SSO: A Hybrid Swarm Intelligence Optimization Algorithm
2022Arjun Nelikanti +2 more
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